{"id": 1205139, "name": "Female genital mutilation prevalence (%)", "unit": "%", "createdAt": "2026-03-01T08:24:30.000Z", "updatedAt": "2026-03-01T08:24:30.000Z", "coverage": "", "timespan": "1990-2023", "datasetId": 7396, "shortUnit": "%", "columnOrder": 0, "shortName": "sh_sta_fgms_zs", "catalogPath": "grapher/worldbank_wdi/2026-02-27/wdi/wdi#sh_sta_fgms_zs", "descriptionFromProducer": "Percentage of women aged 15\u201349 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.", "type": "float", "datasetName": "World Development Indicators", "updatePeriodDays": 365, "datasetVersion": "2026-02-27", "nonRedistributable": false, "display": {"unit": "%", "shortUnit": "%"}, "schemaVersion": 2, "presentation": {}, "dimensions": {"years": {"values": [{"id": 2001}, {"id": 2006}, {"id": 2012}, {"id": 2014}, {"id": 1999}, {"id": 2003}, {"id": 2010}, {"id": 2021}, {"id": 2004}, {"id": 1995}, {"id": 2019}, {"id": 2015}, {"id": 2005}, {"id": 2016}, {"id": 2000}, {"id": 2008}, {"id": 2002}, {"id": 2013}, {"id": 2020}, {"id": 2018}, {"id": 1998}, {"id": 2009}, {"id": 2022}, {"id": 2017}, {"id": 1996}, {"id": 2011}, {"id": 2023}, {"id": 1990}, {"id": 1997}]}, "entities": {"values": [{"id": 32, "name": "Benin", "code": "BEN"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 43, "name": "Cameroon", "code": "CMR"}, {"id": 174, "name": "Central African Republic", "code": "CAF"}, {"id": 173, "name": "Chad", "code": "TCD"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 154, "name": "Djibouti", "code": "DJI"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 157, "name": "Eritrea", "code": "ERI"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 147, "name": "Guinea", "code": "GIN"}, {"id": 94, "name": "Guinea-Bissau", "code": "GNB"}, {"id": 134, "name": "Iraq", "code": "IRQ"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 211, "name": "Maldives", "code": "MDV"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 114, "name": "Mauritania", "code": "MRT"}, {"id": 104, "name": "Niger", "code": "NER"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 82, "name": "Somalia", "code": "SOM"}, {"id": 79, "name": "Sudan", "code": "SDN"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 74, "name": "Togo", "code": "TGO"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 61, "name": "Yemen", "code": "YEM"}]}}, "origins": [{"id": 13638, "title": "World Development Indicators", "description": "The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.", "producer": "UNICEF, Demographic and Health Surveys (DHS), and Multiple Indicator Cluster Surveys (MICS), via World Bank", "citationFull": "UNICEF DATA, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; \tIndicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), type: API, date accessed: 2023-12-07;\nDemographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS) and other surverys, DHS Program (ICF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; \tIndicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), publisher: The DHS Program (ICF), type: API, date accessed: 2023-12-07;\nDHS API, DHS Program (ICF), uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: PT_F_15-49_FGM; \tIndicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), date accessed: 2023-12-07. Indicator SH.STA.FGMS.ZS (https://data.worldbank.org/indicator/SH.STA.FGMS.ZS). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.", "versionProducer": "125", "urlMain": "https://data.worldbank.org/indicator/SH.STA.FGMS.ZS", "urlDownload": "https://databankfiles.worldbank.org/public/ddpext_download/WDI_CSV.zip", "dateAccessed": "2026-02-27", "datePublished": "2026-01-28", "license": {"url": "https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators", "name": "CC BY 4.0"}}]}